English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Metabolic flux analysis (MFA) is a fundamental diagnostic tool of metabolic engineering. The use of labeling followed by NMR (nuclear magnetic resonance) analysis is a powerful method of flux quantification, that is gaining popularity in metabolic engineering. Flux quantification in plants has received very limited attention compared to that in microorganisms and mammalian cells. This is principally because plant biochemistry is more complex, and exhibits extensive subcellular compartmentation. This research concentrated on improvements in 13C labeling-based flux analysis methods, particularly oriented toward application to plants; and on performing systemic flux analyses in two model plant systems: Glycine max (soybean) embryos (agriculturally and nutritionally significant plant system), and Catharanthus roseus hairy roots (pharmaceutical^ significant plant system). A concept called 'bondomer' was introduced, to simplify flux evaluation from labeling experiments that employ U-13C (uniformly 13C-labeled) substrates. It was shown that the enumeration of feasible bondomers in a metabolic network reduced the number of bondomer balances 3-fold. This resulted in a simplified system that offers the advantages of faster computation, and easier flux identifiability analysis. Furthermore, a computational technique called Boolean function mapping was introduced to aid in the formulation of bondomer or isotopomer balances. This technique is more efficient than previously reported techniques toward the same purpose, and its efficiency is expected to be valuable while analyzing metabolic networks or reaction steps that are not completely known (which is fairly common in plant metabolism). '3C labeling experiments were performed by feeding a mixture of U-'3C sucrose, naturally abundant sucrose, and glutamine to developing soybean (G/ycme max) embryos. 2-D [^3C, NMR spectra of seed storage protein and starch hydrolysates were acquired, and yielded a labeling data set consisting of 155 isotopomer abundances. A computer program,

Flux analysis in central carbon metabolism in plants: 13C NMR experiments and analysis